Readme file for TransCost folder.

This folder contains data and codes for the transportation cost model used in the paper.

It contains:

 - EsalqDestinations.xls:   Raw freight quotes data from ESALq Log.
 - TransRaster.gdb.tar:     Compressed ArcGIS geodatabase with computed transportation costs and raw roads and ports data from the 
                            Ministry of Transportations.
 - RoadTransCostRaster.py:  ArcGIS python code that rasterize roads data and computes effective distances from every raster pixel 
                            to the closest destination port.
 - TransCostEsalqLogDestinations.py: ArcGIS python code that takes rasterized road network (with embeded pixel traversing relative 
                                     costs computed by RoadTransCostRaster.py) and pairs of locations with freight data 
  									 (in EsalqDestinations.xls) and computes effective distances between pairs of municipalities in
 									 freight data. This will produce the table stored in Data/DataTransCost08212015.mat.
 - SugarcaneDistances.py:   ArcGIS python code that computes a raster for each year from 2004 to 2013 of effective distances from each
                            pixel in the region of study to the closest sugarcane field in place in that given year. This code makes reference
                            to a 'SugarDistances.gdb' gedodata base that should be mounted with 'RoadCost1km' raster feature produced by 
                            RoadTransCostRaster.py and with raw CANASAT shape file features.							
